metafile.yml 668 B

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  1. Models:
  2. - Name: mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco
  3. In Collection: Mask R-CNN
  4. Config: configs/strong_baselines/mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py
  5. Metadata:
  6. Epochs: 100
  7. Training Data: COCO
  8. Training Techniques:
  9. - SGD with Momentum
  10. - Weight Decay
  11. - LSJ
  12. Training Resources: 8x V100 GPUs
  13. Architecture:
  14. - ResNet
  15. - FPN
  16. Results:
  17. - Task: Object Detection
  18. Dataset: COCO
  19. Metrics:
  20. box AP: 44.7
  21. - Task: Instance Segmentation
  22. Dataset: COCO
  23. Metrics:
  24. box AP: 40.4